Journal ArticleDOI
A model for the structure of lane-changing decisions
TLDR
A structure is proposed to connect the decisions which a driver has to make before changing lanes to ensure that the vehicles in traffic simulations behave logically when confronted with situations commonly encountered in real traffic.Abstract:
A structure is proposed to connect the decisions which a driver has to make before changing lanes. The model is intended to cover the urban driving situation, where traffic signals, obstructions and heavy vehicles all exert an influence. The structure is designed to ensure that the vehicles in traffic simulations behave logically when confronted with situations commonly encountered in real traffic. The specific mathematical expression of the questions embedded in the decision process and employed in the present implementation of the model are not critical and can be replaced by alternatives, but the heirarchy of the decisions is crucial. On the basis of experience to date, the lane changing model produces a realistic simulation of driver behaviour and has proved very robust under a wide range of conditions.read more
Citations
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Probabilistic Framework for Behavior Characterization of Traffic Participants Enabling Long Term Prediction
TL;DR: A novel probabilistic framework is proposed that couples the different maneuver stages of the observed traffic participant together and associates them to a driving style and showed improvements in the performance of the behavior classification of the traffic participants compared to the IMM for the identified use case scenarios.
Proceedings ArticleDOI
Cooperative Lane Change Model for Connected Vehicles under Congested Traffic Conditions
TL;DR: In this article, a cooperative lane change (CLC) model for connected vehicles is proposed to reduce the adverse impact on the following vehicle in the target lane, and increase the chances of feasible lane change under congested traffic conditions.
Proceedings ArticleDOI
Interaction-aware risk assessment: focus on the lateral intention
TL;DR: In this paper, a probabilistic approach to estimate the risk of driving under uncertain conditions, combining intention estimations and the expected behaviour of vehicles according to the topology and the subsequent traffic rules of the considered driving scenario, is presented.
Proceedings ArticleDOI
Analysis of interactions between look-ahead control and traffic speed
TL;DR: The aim of the paper is to analyze the impact of vehicles equipped with look-ahead cruise control on the traffic flow and the penetration rate ofLook-ahead vehicles in the traffic and the number of vehicles on the road network.
References
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Journal ArticleDOI
A behavioural car-following model for computer simulation
TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI
Nonlinear Follow-the-Leader Models of Traffic Flow
TL;DR: A variety of nonlinear follow-the-leader models of traffic flow are discussed in this article in the light of available observational and experimental data, with emphasis placed on steady-state flow equations.
Journal ArticleDOI
Nonlinear Effects in the Dynamics of Car Following
TL;DR: In this paper, it was shown that a small amplitude disturbance propagates through a series of cars in the manner described by linear theories, except that the dependence of the wave velocity on the car velocity causes an accleration wave to spread as it propagates and a deceleration wave forming a stable shock.
Journal ArticleDOI
A Generalization of Linear Car-Following Theory
TL;DR: The linear theory of single-lane traffic flow is generalized by using an integral transform technique well-known in other branches of applied science that introduces the idea of a memory function that describes the way in which a driver processes the information he receives from a lead vehicle.
Journal ArticleDOI
Fuel saving and other benefits of dynamic advisory speeds on a multi-lane arterial road
TL;DR: In this paper, a discrete vehicle simulation using program MULTSIM has been run on a 6 km idealized road and also on 2.3 km of the multi-lane arterial, Military Road, Sydney.
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